At the start of the project, I conducted field research, including onsite interviews with Pizza Hut branch managers in SF. I also traveled to the PH headquarters and performed hands-on training with the innovation team in their on-site mock restaurants.
Insights
Due to high employee turnover some restaurants hired pricey 3rd party cleaning services. The complexity was increased with 8 oven configurations and many cleaning spaces had no extra space for large oven parts, especially at dine-in locations.
3RD PARTY CLEANING
8 CONFIGURATIONS
BUSY CLEANING AREA
The original PDF of decks provided a poor, desktop-only experience that was not mobile-friendly, required additional costly and unscalable training, and only offered information for reassembling one type of oven configuration.
Before
I designed mobile iterations of the legacy decks, using both existing design system patterns and contributing new components for AR process flows. The team aligned on V4 for its clarity and simplicity, learning that simpler designs are often more efficient despite tradeoffs with visual appeal.
V1
V2
V3
V4
During a critique with PH, I emphasized the need for clear step order and combined images with detailed information, leading to option 4. I used Principle to prototype interactions, added illustrations for user rewards, and collaborated with engineers on motion integration, focusing on easing, duration, and animation speed.
V1
V2
V3
V4
Manual labeling often washed off during cleaning, leading to incorrect assembly and poor pizza quality, which explains why some Pizza Hut locations have significantly different pizza tastes.
Before
MANUAL LABELING
INCORRECT ASSEMBLY
POOR PIZZA QUALITY
The final design included a configuration selection before location, calibrating the oven's reassembly process to each restaurant’s regional preference. I included AR labels to locate the oven parts and then leveraged 3D augmented models over the physical oven to guide with replacement.
Configure
Locate
Reassemble
Replace
The project resulted in a 45% reduction in reassembly time and a 23% increase in accuracy, leading to a presentation to the international executive board where the President, impressed and engaged, successfully tried the process live for the first time without errors.
REASSEMBLY TIME
45%
DECREASE
REASSEMBLY ACCURACY
23%
INCREASE
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